Evidence map›Paper›PMID 32430847›Full record

ArticleMolecular biology reports2020

SNP marker development in Pinus sylvestris L. in stress-responsive genes characterized from Pinus cembra L. transcriptomes.

Zoltán A Köbölkuti, Endre Gy Tóth, Daniela Jahn, Berthold Heinze, Mária Höhn

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Zoltán A KöbölkutiDepartment of Botany, Faculty of Horticulture, Szent István University, Ménesi út 44, Budapest, 1118, Hungary. kobolkuti.zoltan@erti.naik.hu.ORCID http://orcid.org/0000-0002-6933-5648
Endre Gy TóthDepartment of Breeding, National Agricultural Research and Innovation Centre, Forest Research Institute, Várkerület 30/A, Sárvár, 9600, Hungary.ORCID http://orcid.org/0000-0001-7060-924X
Daniela JahnFederal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria.
Berthold HeinzeFederal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), Seckendorff-Gudent-Weg 8, 1130, Vienna, Austria.ORCID http://orcid.org/0000-0002-7571-9138
Mária HöhnDepartment of Botany, Faculty of Horticulture, Szent István University, Ménesi út 44, Budapest, 1118, Hungary.
Austrian Research Centre for Forests · ATMagyar Agrár- és Élettudományi Egyetem · HUUniversité du Québec en Abitibi-Témiscamingue · CA

Funding

Hungarian Scientific Research Fund OTKA 119208
6 · The paper itself

Abstract

Massively parallel sequencing of cDNA is an efficient route for generating sequence collections that represent expressed genes under different environmental control. The analysis of their sequence helps in developing molecular markers, such as SNPs, which represent a useful tool in detecting adaptive signals in populations. In this study novel PCR markers, based on stress responsive genes, were designed from the transcriptome of the haploxylon Swiss stone pine (Pinus cembra L.) and tested for SNPs in the diploxylon Scots pine (Pinus sylvestris L.). 84 primers were tested on P. sylvestris DNA samples originating from three different types of habitat. After sequencing and BLAST search of the amplified products, parts of 19 different candidate genes were analysed by considering the polymorphic sites, insertions/deletions as well as synonymous and non-synonymous SNPs. In a total of 3735 sites no indels, eight synonymous and 11 non-synonymous SNPs were found. By providing de novo molecular markers developed in P. cembra and tested for transferability in Scots pine, our results give support for the use of de novo markers targeting conserved regions across different pines. The SNPs detected may have important applications in further studies of adaptive genetic variation, providing tools to study relevant genes important in the long-term adaptation of pine species.

Indexed as

DNA PrimersGenotypeHigh-Throughput Nucleotide SequencingPinusPinus sylvestrisPolymorphism, Single NucleotideStress, PhysiologicalTranscriptomeDNA PrimersAdaptationCandidate genesPinus cembraPinus sylvestrisSNP markers

Identifiers

PMID32430847
PMCPMC7295734
OpenAlexW3028376592

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.